25 Result(s)
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Chapter and Conference Paper
Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning
The dynamic working environment brings challenges to the condition monitoring of anemometers. To accurately grasp the actual performance status of wind turbines (WTs) and timely detect anemometer faults, a com...
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Chapter and Conference Paper
Does Trust Improve Commercial Insurance Participation Behavior?
Based on data from the China Family Panel Studies micro-social survey, this paper empirically analyzes the influence of trust on commercial insurance participation. The results demonstrate that trust significa...
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Chapter and Conference Paper
Community Detection Based on Enhancing Graph Autoencoder with Node Structural Role
The representation learning approach aims to obtain a low-dimensional representation of nodes and accomplish community detection by clustering. Adjacency matrix is the most common form of network representatio...
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Chapter and Conference Paper
Augmented Topic-Specific Summarization for Domain Dialogue Text
This paper describes HW-TSC’s submission to the NLPCC 2022 dialogue text summarization task. We convert it into a sub-summary generation and a topic detection task. A sequence-to-sequence model Transformer is ...
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Chapter and Conference Paper
Underwater Image Registration Based on Polar Complex Exponential Transform
In order to overcome the shortcomings of insufficient operation accuracy and sensitivity in the operation of underwater machines, it is necessary to improve the positioning accuracy of the multi-camera for the...
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Chapter and Conference Paper
Design on Rateless LDPC Codes for Reliable WiFi Backscatter Communications
This paper designs a rateless low density parity check (LDPC) code for the information transmission of the WiFi backscatter communications. Since WiFi has the characteristics of burst data packages and low ant...
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Chapter and Conference Paper
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences
Anterior chamber angle (ACA) classification is a key step in the diagnosis of angle-closure glaucoma in Anterior Segment Optical Coherence Tomography (AS-OCT). Existing automated analysis methods focus on a bi...
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Chapter and Conference Paper
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
Automated extraction of cerebrovascular is of great importance in understanding the mechanism, diagnosis, and treatment of many cerebrovascular pathologies. However, segmentation of cerebrovascular networks fr...
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Chapter and Conference Paper
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
Automated classification of retinal artery (A) and vein (V) is of great importance for the management of eye diseases and systemic diseases. Traditional colour fundus images usually provide a large field of vi...
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Chapter and Conference Paper
Online DAG Scheduling with On-Demand Function Configuration in Edge Computing
Modern applications in mobile computing become increasingly complex and computation intensive. Task offloading from mobile devices to the cloud is more and more frequent. Edge Computing, deploying relatively s...
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Chapter and Conference Paper
A Self-organizing Base Station Slee** Strategy in Small Cell Networks Using Local Stable Matching Games
A distributed small-base stations (s-BSs) slee** approach is proposed for optimizing energy efficiency (EE) in small cell networks (SCNs). Different from the existing studies, the associating preferences of ...
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Chapter and Conference Paper
You Can Write Numbers Accurately on Your Hand with Smart Acoustic Sensing
Although smartwatch has drawn many attentions in recent years, small and inconvenient interaction mode limits the prevalence of smartwatches. Writing numbers with hands will naturally extend the input interfa...
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Chapter and Conference Paper
A Parallel Pre-schedule Max-Min Ant System
The parameter sensitivity of MMAS algorithm is analyzed in this paper. And then, we propose a multi-ant colony parallel optimization algorithm based on dynamic parameter adaptation strategy, aiming at the perf...
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Chapter
Global Calibration of Multi-camera Measurement System from Non-overlap** Views
Global calibration has direct influence on measurement accuracy of multi-camera system. The present calibration methods are hard to be applied in field calibration for the usage of complicated structures with ...
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Chapter and Conference Paper
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions
Recent capture technologies and methods allow not only to retrieve 3D model sequence of moving people in clothing, but also to separate and extract the underlying body geometry, motion component and the clothi...
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Chapter and Conference Paper
Integrating Word Sequences and Dependency Structures for Chemical-Disease Relation Extraction
Understanding chemical-disease relations (CDR) from biomedical literature is important for biomedical research and chemical discovery. This paper uses a k-max pooling convolutional neural network (CNN) to exploi...
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Chapter and Conference Paper
Chinese Hedge Scope Detection Based on Structure and Semantic Information
Hedge detection aims to distinguish factual and uncertain information, which is important in information extraction. The task of hedge detection contains two subtasks: identifying hedge cues and detecting thei...
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Chapter and Conference Paper
Estimation of Human Body Shape in Motion with Wide Clothing
Estimating 3D human body shape in motion from a sequence of unstructured oriented 3D point clouds is important for many applications. We propose the first automatic method to solve this problem that works in t...
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Chapter and Conference Paper
Research of Image Enhancement Algorithm Based on Multi-scale Retinex
Parking supplementary system has been such broadly used in some vehicle that we could drive and park more safely and conveniently. As light intensity has important effect on images from cameras which are mount...
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Chapter and Conference Paper
DTMF: A User Adaptive Model for Hybrid Recommendation
Due to the uneven distributions of the ratings and social relationships for each user, two types of above recommendation methods should have varying weights when make recommendations. In this paper, we propose...
